MSc in Artificial Intelligence

Overview

Artificial Intelligence (AI) is rapidly changing the way we live, work, and learn. The goals of AI include computer-enhanced learning, reasoning, and perception. AI is being used today across different industries from finance to healthcare. This programme is designed to equip candidates with an insight into all areas of AI, from theories and methodologies of AI to practical programming skills to prepare graduates to work within the industry. Many companies are using these technologies to improve their products and services, evaluate their business models, and enhance their decision-making process.

The programme aims to prepare graduates for industrial careers, research activities, and professional growth in the development, application, and maintenance of computer science and systems. It also aims to ensure that graduates mastering modern and promising techniques and technologies for designing chip-based systems using the latest computer-aided design tool as well as the creation and development of such systems.

Admission Requirements

• Candidates must have an average of not less than 60 in their bachelor degree.
• English Language Proficiency: 50 in PTE – 6.0 in IELTS -74 in TOEFL iBT or 105 in Duolingo.
• All applicants are required to submit a valid English language proficiency test from the list above, including graduates of English-medium universities.
• School Interview.
• Candidates seeking admission to the degree of MSc-AI at UKH must have a BSc in Computer Science or related fields.
• Good working experience and research publications can also play a significant role in the process.
• Equalised transcript is required for students who have graduated from international institutions.

• Application Form: Online application form is required.
• Official Transcripts: Provide a copy of your undergraduate transcript with your application.
• A copy of your passport and national ID.

Curriculum

Skills Development

Upon successful completion of this programme, students will be able to:

• design complex algorithms for predictive analysis, deep learning models, and more.
• develop intelligent software applications, such as those involving evolutionary computation and learning.
• comprehend how that technology is used on a wider scale to suit both personal and professional requirements.
• communicate effectively and professionally both in writing and by means of presentations to both specialist and a general audience.
• practice of the ethical, legal policy, and design values and principles for responsible use of data.